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Muse Wonder vs Qwen3.8 Omni Flash

Muse Wonder and Qwen3.8 Omni Flash are closely matched at 47.9 and 37.9 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Wonder and Qwen3.8 Omni Flash are closely matched on the overall LLM Stats Score at 47.9 and 37.9.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Muse Wonder

  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.8 Omni Flash

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
47.9
#29
37.9
#79
33.1
#108
32.3
#116
34.1
#24
21.1
#73
Cost, coverage & limits
Benchmark wins
—
—
Input price
$4.00 / M
— / M
Output price
$20.00 / M
— / M
Context window
1,048,576
—

Individual benchmarks

16 reported for Muse Wonder · 5 for Qwen3.8 Omni Flash

No common benchmarks found

Muse Wonder and Qwen3.8 Omni Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Wonder specifies input context (1,048,576 tokens).

Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Omni Flash
Input- tokens
Output- tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder and Qwen3.8 Omni Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Muse Wonder

Text
Images
Audio
Video

Qwen3.8 Omni Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Wonder

Proprietary

Closed source

Qwen3.8 Omni Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Wonder was released on 2026-10-12, while Qwen3.8 Omni Flash was released on 2026-09-18.

Muse Wonder is 1 month newer than Qwen3.8 Omni Flash.

Muse Wonder

Oct 12, 2026

4 days ago

3w newer
Qwen3.8 Omni Flash

Sep 18, 2026

4 weeks ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Wonder and Qwen3.8 Omni Flash side-by-side, then vote on the output you prefer.

Muse Wonder
✓ Preferred
Qwen3.8 Omni Flash
Open in Playground

FAQ

Common questions about Muse Wonder vs Qwen3.8 Omni Flash.

Which is better, Muse Wonder or Qwen3.8 Omni Flash?

Muse Wonder and Qwen3.8 Omni Flash are closely matched on the LLM Stats Score at 47.9 and 37.9. Muse Wonder is made by Meta and Qwen3.8 Omni Flash is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder compare to Qwen3.8 Omni Flash in benchmarks?

Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%. Qwen3.8 Omni Flash scores VoiceBench Avg: 91.6%, DailyOmni: 85.1%, MMAU: 81.8%, OmniGAIA: 74.0%, WildClawBench: 71.0%.

What are the context window sizes for Muse Wonder and Qwen3.8 Omni Flash?

Muse Wonder supports 1.0M tokens and Qwen3.8 Omni Flash supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Wonder and Qwen3.8 Omni Flash?

Key differences include LLM Stats Score (47.9 vs 37.9). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder and Qwen3.8 Omni Flash?

Muse Wonder is developed by Meta and Qwen3.8 Omni Flash is developed by Alibaba Cloud / Qwen Team.